Authors: Werneld Egno Ngongi; Jialu Du; Rui Wang
Addresses: Department of Marine Engineering, Dar es Salaam Maritime Institute, P.O. Box 6727, Dar es Salaam, Tanzania ' School of Information Science and Technology, Dalian Maritime University, No. 1 Linghai Road, High-Tech Zone District, Dalian, Liaoning Province 116026, China ' School of Information Science and Technology, Dalian Maritime University, No. 1 Linghai Road, High-Tech Zone District, Dalian, Liaoning Province 116026, China
Abstract: This paper presents a generalised predictive control algorithm (GPCA) for ship dynamic positioning (DP) controller using controlled autoregressive integral moving average (CARIMA) model to describe the controlled object. The proposed control system is capable of making position and heading of the ship converge to the desired values by choosing the error correction coefficient, parameter adaptation and feedback correction techniques. Firstly, the basic principle of the generalised predictive control algorithm is introduced. Secondly, the generalised predictive control algorithm is used to design the ship dynamic positioning controller. Finally, the simulation of the designed controller is given. Simulation results prove the effectiveness and robustness of the controller.
Keywords: dynamic positioning; generalised predictive controller; feedback correction; rolling optimisation; performance index; surface ships.
International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.1, pp.17 - 35
Received: 25 Jan 2018
Accepted: 22 Jul 2018
Published online: 10 Feb 2020 *